Niladri Chatterjee

Also published as: N. Chatterjee


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LangResearchLab_NC at FinCausal 2020, Task 1: A Knowledge Induced Neural Net for Causality Detection
Raksha Agarwal | Ishaan Verma | Niladri Chatterjee
Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation

Identifying causal relationships in a text is essential for achieving comprehensive natural language understanding. The present work proposes a combination of features derived from pre-trained BERT with linguistic features for training a supervised classifier for the task of Causality Detection. The Linguistic features help to inject knowledge about the semantic and syntactic structure of the input sentences. Experiments on the FinCausal Shared Task1 datasets indicate that the combination of Linguistic features with BERT improves overall performance for causality detection. The proposed system achieves a weighted average F1 score of 0.952 on the post-evaluation dataset.


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A Diagnostic Evaluation Approach Targeting MT Systems for Indian Languages
Renu Balyan | Sudip Kumar Naskar | Antonio Toral | Niladri Chatterjee
Proceedings of the Workshop on Machine Translation and Parsing in Indian Languages


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Context Resolution of Verb Particle Constructions for English to Hindi Translation
Niladri Chatterjee | Renu Balyan
Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation


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Word Alignment in English-Hindi Parallel Corpus Using Recency-Vector Approach: Some Studies
Niladri Chatterjee | Saumya Agrawal
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics

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Parsing Aligned Parallel Corpus by Projecting Syntactic Relations from Annotated Source Corpus
Shailly Goyal | Niladri Chatterjee
Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions


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Improving Automated Alignment in Multilingual Corpora
J.A. Campbell | N. Chatterjee | M. Manela | Alex Chengyu Fang
Proceedings of the 11th Pacific Asia Conference on Language, Information and Computation